{"id":"W1983947034","doi":"10.1088/1742-6596/524/1/012149","title":"Large Eddy Simulation of the meandering of a wind turbine wake with stochastically generated boundary conditions","year":2014,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Wake; Turbulence; Physics; Mechanics; Large eddy simulation; Fourier transform; Geology; Classical mechanics; Mathematical analysis; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005185362,0.0005764112,0.0008262049,0.0003704424,0.0008391544,0.0008813572,0.0009321598,0.001705599,0.002163597],"category_scores_gemma":[0.002304022,0.0005126948,0.0006925354,0.0003575353,0.001033702,0.0007209974,0.0006120081,0.001267218,0.0001376486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008729309,"about_ca_system_score_gemma":0.001158875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01970253,"about_ca_topic_score_gemma":0.01358082,"domain_scores_codex":[0.9998149,0.00005567992,0.00001021227,0.00002759775,0.00003476583,0.00005680573],"domain_scores_gemma":[0.9983482,0.0009592146,0.0001332456,0.00009120985,0.0001614657,0.000306596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003075552,0.0002289885,0.003264293,0.00002754614,0.00003885377,0.0001934596,0.00005026929,0.9909385,0.002165666,0.001280958,0.0004854256,0.001018325],"study_design_scores_gemma":[0.00003617361,0.00004065449,0.0009380855,0.000001534201,0.000003304583,0.000006594574,0.00001352193,0.9985656,0.0002117046,0.0001415246,0.00003638456,0.000004889309],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867364,0.00007248483,0.006492723,0.0002986841,0.00009426481,0.00003508365,0.0002144548,0.000221272,0.005834664],"genre_scores_gemma":[0.9978606,0.00001392876,0.00129001,0.00002923555,0.00001325315,0.00001121381,0.0001076045,0.00002684179,0.0006473018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01970253,"threshold_uncertainty_score":0.03917569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01409745343797697,"score_gpt":0.2300654776649953,"score_spread":0.2159680242270184,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}